Senior Software Engineer – Holoscan Sensor AI Platform at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, Robotics, Industrial Automation, AstronomyIndustries

Requirements

Advanced degree (Master’s/PhD) or equivalent experience in Computer Science, Applied Math, Electrical Engineering, or related fields
Deep passion for computer vision, real-time AI, and sensor driven systems, with ability for translating research into practical, high-performance solutions
Proven success in designing APIs and frameworks that developers love to use and that stand the test of scale
Strong programming expertise in C++ (modern standards), combined with solid Python development skills for prototyping and tooling
8+ years of experience building and shipping complex, high-performance imaging or sensor-processing software
Ability to profile, analyze, and optimize performance bottlenecks at both software and hardware levels
Strong communicator and collaborative problem-solver, able to work across multiple technical domains and partner with both researchers and product teams
Perspective of technical leadership: proactive in seeing opportunities, setting high standards, and mentoring teammates
Hands-on expertise with CUDA C/C++ and deep knowledge of parallel programming paradigms

Responsibilities

Architect the future of Holoscan SDK by designing intuitive, scalable APIs for real-time sensor, image, and multimodal data processing – balancing developer usability with peak GPU performance
Prototype innovative GPU-accelerated algorithms for computer vision, imaging, and sensor fusion – translating research into production-grade software
Build and optimize core libraries for accelerated I/O, streaming, encoding/decoding, and large-scale data handling across diverse domains like healthcare, robotics, industrial automation, and astronomy
Benchmark performance rigorously, profiling and optimizing against powerful frameworks and research results
Collaborate with world-class teams inside and outside NVIDIA – from robotics researchers to medical device makers – ensuring Holoscan seamlessly integrates into varied platforms
Influence product strategy by contributing technical insights that shape roadmap decisions, set performance goals, and define standards for real-time AI systems
Mentor and elevate the team, guiding peers and junior engineers in API design, GPU programming, and large-scale system development

Skills

GPU Acceleration

Computer Vision

Sensor Fusion

API Design

Real-time Processing

Streaming Data

I/O Optimization

Benchmarking

Profiling

Multimodal Data Processing

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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